Triple
T2601502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IS-LM model |
E58352
|
entity |
| Predicate | graphicalRepresentation |
P36368
|
FINISHED |
| Object | two-dimensional diagram with interest rate and output |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: two-dimensional diagram with interest rate and output | Statement: [IS-LM model, graphicalRepresentation, two-dimensional diagram with interest rate and output]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicalRepresentation Context triple: [IS-LM model, graphicalRepresentation, two-dimensional diagram with interest rate and output]
-
A.
graphics
Indicates a relationship where one entity is responsible for creating, providing, or handling visual representations or graphical content for another entity or context.
-
B.
chartDepiction
chosen
Indicates that one entity is a chart that visually represents or depicts information about another entity.
-
C.
visualizationLibrary
Indicates that an entity uses, depends on, or is implemented with a particular visualization library for rendering or displaying visual data.
-
D.
graphicsType
Indicates the type or category of graphics associated with or used by an entity.
-
E.
visualElements
Indicates that one entity contains, uses, or is characterized by specific visual components or graphical features associated with another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd4587014819089f78e93adf2144c |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.